





"""simple docstring"""
class       a							:



 def __init__(     self     ):







  """simple docstring"""






  lowerCAmelCase    				= 0
  lowerCAmelCase    				= 0
  lowerCAmelCase    				= {}



 def    UpperCamelCase__  (     self				,       _snake_case     ):







  """simple docstring"""






  if vertex not in self.adjacency:
   lowerCAmelCase    				= {}
   self.num_vertices += 1



 def    UpperCamelCase__  (     self				,       _snake_case				,       _snake_case				,       _snake_case     ):







  """simple docstring"""






  self.add_vertex(SCREAMING_SNAKE_CASE_     )
  self.add_vertex(SCREAMING_SNAKE_CASE_     )

  if head == tail:
   return

  lowerCAmelCase    				= weight
  lowerCAmelCase    				= weight



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= self.get_edges()
  for edge in edges:
   lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= edge
   edges.remove((tail, head, weight)     )
  for i in range(len(SCREAMING_SNAKE_CASE_     )     ):
   lowerCAmelCase    				= list(edges[i]     )

  edges.sort(key=lambda _snake_case     : e[2]     )
  for i in range(len(SCREAMING_SNAKE_CASE_     ) - 1     ):
   if edges[i][2] >= edges[i + 1][2]:
    lowerCAmelCase    				= edges[i][2] + 1
  for edge in edges:
   lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= edge
   lowerCAmelCase    				= weight
   lowerCAmelCase    				= weight



 def __str__(     self     ):







  """simple docstring"""






  lowerCAmelCase    				= ''
  for tail in self.adjacency:
   for head in self.adjacency[tail]:
    lowerCAmelCase    				= self.adjacency[head][tail]
    string += F'{head} -> {tail} == {weight}\n'
  return string.rstrip('\n'     )



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  lowerCAmelCase    				= []
  for tail in self.adjacency:
   for head in self.adjacency[tail]:
    output.append((tail, head, self.adjacency[head][tail])     )
  return output



 def    UpperCamelCase__  (     self     ):







  """simple docstring"""






  return self.adjacency.keys()



 @staticmethod
 def    UpperCamelCase__  (     _snake_case=None				,       _snake_case=None     ):







  """simple docstring"""






  lowerCAmelCase    				= Graph()
  if vertices is None:
   lowerCAmelCase    				= []
  if edges is None:
   lowerCAmelCase    				= []
  for vertex in vertices:
   g.add_vertex(SCREAMING_SNAKE_CASE_     )
  for edge in edges:
   g.add_edge(*SCREAMING_SNAKE_CASE_     )
  return g







 class       a							:



  def __init__(     self     ):







   """simple docstring"""






   lowerCAmelCase    				= {}
   lowerCAmelCase    				= {}



  def __len__(     self     ):







   """simple docstring"""






   return len(self.parent     )



  def    UpperCamelCase__  (     self				,       _snake_case     ):







   """simple docstring"""






   if item in self.parent:
    return self.find(SCREAMING_SNAKE_CASE_     )

   lowerCAmelCase    				= item
   lowerCAmelCase    				= 0
   return item



  def    UpperCamelCase__  (     self				,       _snake_case     ):







   """simple docstring"""






   if item not in self.parent:
    return self.make_set(SCREAMING_SNAKE_CASE_     )
   if item != self.parent[item]:
    lowerCAmelCase    				= self.find(self.parent[item]     )
   return self.parent[item]



  def    UpperCamelCase__  (     self				,       _snake_case				,       _snake_case     ):







   """simple docstring"""






   lowerCAmelCase    				= self.find(SCREAMING_SNAKE_CASE_     )
   lowerCAmelCase    				= self.find(SCREAMING_SNAKE_CASE_     )

   if roota == roota:
    return roota

   if self.rank[roota] > self.rank[roota]:
    lowerCAmelCase    				= roota
    return roota

   if self.rank[roota] < self.rank[roota]:
    lowerCAmelCase    				= roota
    return roota

   if self.rank[roota] == self.rank[roota]:
    self.rank[roota] += 1
    lowerCAmelCase    				= roota
    return roota
   return None



 @staticmethod
 def    UpperCamelCase__  (     _snake_case     ):







  """simple docstring"""






  lowerCAmelCase    				= graph.num_vertices

  lowerCAmelCase    				= Graph.UnionFind()
  lowerCAmelCase    				= []
  while num_components > 1:
   lowerCAmelCase    				= {}
   for vertex in graph.get_vertices():
    lowerCAmelCase    				= -1

   lowerCAmelCase    				= graph.get_edges()
   for edge in edges:
    lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= edge
    edges.remove((tail, head, weight)     )
   for edge in edges:
    lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= edge
    lowerCAmelCase    				= union_find.find(SCREAMING_SNAKE_CASE_     )
    lowerCAmelCase    				= union_find.find(SCREAMING_SNAKE_CASE_     )
    if seta != seta:
     if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
      lowerCAmelCase    				= [head, tail, weight]

     if cheap_edge[seta] == -1 or cheap_edge[seta][2] > weight:
      lowerCAmelCase    				= [head, tail, weight]
   for vertex in cheap_edge:
    if cheap_edge[vertex] != -1:
     lowerCAmelCase				,lowerCAmelCase				,lowerCAmelCase    				= cheap_edge[vertex]
     if union_find.find(SCREAMING_SNAKE_CASE_     ) != union_find.find(SCREAMING_SNAKE_CASE_     ):
      union_find.union(SCREAMING_SNAKE_CASE_				,       SCREAMING_SNAKE_CASE_     )
      mst_edges.append(cheap_edge[vertex]     )
      lowerCAmelCase    				= num_components - 1
  lowerCAmelCase    				= Graph.build(edges=SCREAMING_SNAKE_CASE_     )
  return mst







"""simple docstring"""






from typing import List, Optional, Union

from ...image_utils import ImageInput
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType



class 			lowercase					( lowercase__		):
			lowercase        =     ['''image_processor''', '''tokenizer''']
			lowercase        =     '''BlipImageProcessor'''
			lowercase        =     ('''BertTokenizer''', '''BertTokenizerFast''')






			def __init__(self  :	Any      ,SCREAMING_SNAKE_CASE_  :	List[str]      ,SCREAMING_SNAKE_CASE_  :	Optional[int]			)       ->	Dict:





				"""simple docstring"""


				lowerCAmelCase												=  False
				super().__init__(SCREAMING_SNAKE_CASE_      ,SCREAMING_SNAKE_CASE_			)
				lowerCAmelCase												=  self.image_processor






			def __call__(self  :	int      ,SCREAMING_SNAKE_CASE_  :	ImageInput = None      ,SCREAMING_SNAKE_CASE_  :	Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None      ,SCREAMING_SNAKE_CASE_  :	bool = True      ,SCREAMING_SNAKE_CASE_  :	Union[bool, str, PaddingStrategy] = False      ,SCREAMING_SNAKE_CASE_  :	Union[bool, str, TruncationStrategy] = None      ,SCREAMING_SNAKE_CASE_  :	Optional[int] = None      ,SCREAMING_SNAKE_CASE_  :	int = 0      ,SCREAMING_SNAKE_CASE_  :	Optional[int] = None      ,SCREAMING_SNAKE_CASE_  :	Optional[bool] = None      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = False      ,SCREAMING_SNAKE_CASE_  :	bool = True      ,SCREAMING_SNAKE_CASE_  :	Optional[Union[str, TensorType]] = None      ,**SCREAMING_SNAKE_CASE_  :	str      ,)       ->	BatchEncoding:





				"""simple docstring"""


				if images is None and text is None:
					raise ValueError('''You have to specify either images or text.'''			)

				# Get only text
				if images is None:
					lowerCAmelCase												=  self.tokenizer
					lowerCAmelCase												=  self.tokenizer(
					    text=SCREAMING_SNAKE_CASE_      ,add_special_tokens=SCREAMING_SNAKE_CASE_      ,padding=SCREAMING_SNAKE_CASE_      ,truncation=SCREAMING_SNAKE_CASE_      ,max_length=SCREAMING_SNAKE_CASE_      ,stride=SCREAMING_SNAKE_CASE_      ,pad_to_multiple_of=SCREAMING_SNAKE_CASE_      ,return_attention_mask=SCREAMING_SNAKE_CASE_      ,return_overflowing_tokens=SCREAMING_SNAKE_CASE_      ,return_special_tokens_mask=SCREAMING_SNAKE_CASE_      ,return_offsets_mapping=SCREAMING_SNAKE_CASE_      ,return_token_type_ids=SCREAMING_SNAKE_CASE_      ,return_length=SCREAMING_SNAKE_CASE_      ,verbose=SCREAMING_SNAKE_CASE_      ,return_tensors=SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_      ,)
					return text_encoding

				# add pixel_values
				lowerCAmelCase												=  self.image_processor(SCREAMING_SNAKE_CASE_      ,return_tensors=SCREAMING_SNAKE_CASE_			)

				if text is not None:
					lowerCAmelCase												=  self.tokenizer(
					    text=SCREAMING_SNAKE_CASE_      ,add_special_tokens=SCREAMING_SNAKE_CASE_      ,padding=SCREAMING_SNAKE_CASE_      ,truncation=SCREAMING_SNAKE_CASE_      ,max_length=SCREAMING_SNAKE_CASE_      ,stride=SCREAMING_SNAKE_CASE_      ,pad_to_multiple_of=SCREAMING_SNAKE_CASE_      ,return_attention_mask=SCREAMING_SNAKE_CASE_      ,return_overflowing_tokens=SCREAMING_SNAKE_CASE_      ,return_special_tokens_mask=SCREAMING_SNAKE_CASE_      ,return_offsets_mapping=SCREAMING_SNAKE_CASE_      ,return_token_type_ids=SCREAMING_SNAKE_CASE_      ,return_length=SCREAMING_SNAKE_CASE_      ,verbose=SCREAMING_SNAKE_CASE_      ,return_tensors=SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_      ,)
				else:
					lowerCAmelCase												=  None

				if text_encoding is not None:
					encoding_image_processor.update(SCREAMING_SNAKE_CASE_			)

				return encoding_image_processor






			def 					UpperCAmelCase							(self  :	List[str]      ,*SCREAMING_SNAKE_CASE_  :	str      ,**SCREAMING_SNAKE_CASE_  :	str			)       ->	Union[str, Any]:





				"""simple docstring"""


				return self.tokenizer.batch_decode(*SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_			)






			def 					UpperCAmelCase							(self  :	List[Any]      ,*SCREAMING_SNAKE_CASE_  :	str      ,**SCREAMING_SNAKE_CASE_  :	Optional[int]			)       ->	Any:





				"""simple docstring"""


				return self.tokenizer.decode(*SCREAMING_SNAKE_CASE_      ,**SCREAMING_SNAKE_CASE_			)






			@property
			def 					UpperCAmelCase							(self  :	Dict			)       ->	Tuple:





				"""simple docstring"""


				lowerCAmelCase												=  self.tokenizer.model_input_names
				lowerCAmelCase												=  self.image_processor.model_input_names
				return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names			)			)


